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PySide GUI Application Development. Develop more dynamic and robust GUI applications using PySide, an open source cross-platform UI framework - Second Edition

(ebook) (audiobook) (audiobook) Książka w języku 1
PySide GUI Application Development. Develop more dynamic and robust GUI applications using PySide, an open source cross-platform UI framework - Second Edition Venkateshwaran Loganathan, Gopinath Jaganmohan - okladka książki

PySide GUI Application Development. Develop more dynamic and robust GUI applications using PySide, an open source cross-platform UI framework - Second Edition Venkateshwaran Loganathan, Gopinath Jaganmohan - okladka książki

PySide GUI Application Development. Develop more dynamic and robust GUI applications using PySide, an open source cross-platform UI framework - Second Edition Venkateshwaran Loganathan, Gopinath Jaganmohan - audiobook MP3

PySide GUI Application Development. Develop more dynamic and robust GUI applications using PySide, an open source cross-platform UI framework - Second Edition Venkateshwaran Loganathan, Gopinath Jaganmohan - audiobook CD

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Elegantly-built GUI applications are always a massive hit among users. PySide is an open source software project that provides Python bindings for the Qt cross-platform UI framework. Combining the power of Qt and Python, PySide provides easy access to the Qt framework for Python developers and also acts as an excellent rapid application development platform.
This book will take you through everything you need to know to develop UI applications. You will learn about installing and building PySide in various major operating systems as well as the basics of GUI programming. The book will then move on to discuss event management, signals and slots, and the widgets and dialogs available with PySide. Database interaction and manipulation is also covered.
By the end of this book, you will be able to program GUI applications efficiently and master how to develop your own applications and how to run them across platforms.

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O autorach książki

Venkateshwaran Loganathan is an eminent software developer who has been involved in the design, development, and testing of software products for more than five years now. He was introduced to computer programming at an early age of 11 with FoxPro, and he then started to learn and master various computer languages, such as C, C++, Perl, Python, Node.js, and Unix shell scripting. Fascinated by open source development, he has involved himself in contributing to various open source technologies. He is now working for Cognizant Technology Solutions as a technology specialist where he has involved himself in research and development for the Internet of Things domain. He is now actively involved in using RFID devices, Drones, and Google Glass to evolve Future of Technology concepts. Before joining with Cognizant, he worked with few of the IT majors, such as Infosys, Virtusa, and NuVeda. Starting his career as a network developer, he gained expertise in various domains, such as Networking, E-Learning, and HealthCare. He has won various awards and accolades to his merit in the companies he has worked for. Venkateshwaran holds a bachelor's degree in Computer Science and Engineering from Anna University and an M.S in software systems from BITS, Pilani. Apart from programming, he is actively involved in handling various technical and soft skills classes for budding engineers and college students. His hobbies include singing and trekking. He likes to get involved with social servicing and move with people a lot. You can write to him at anandvenkat4@gmail.com.
Gopinath Jaganmohan is an Internet of Things evangelist and open source distributed-computing architect. He has 14 years of experience in various industries and has architected and lead implementation in Internet of Things platforms and solutions for enterprise in Telematics, Healthcare, and Wearables. He has worked on various technologies starting from C, Python, Lua, to Node.js, and implemented Big Data technologies like Hbase, Couchbase and ZooKeeper for various clients. He is passionate about device programming and device integration. He is lately working on deep learning technologies like Keras, scikit, Torch7 and Pandas in machine learning for device data.

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